Top Senior Data Engineer Jobs in Atlanta, GA

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

As a Manager in Managed Services, you'll lead data ecosystems projects, mentor juniors, manage client accounts, and deliver data strategies to optimize operations and drive insights for clients.

As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

The role involves embedding with teams to drive data product onboarding, developing solutions, and enabling clients to self-serve data products with a focus on AI-assisted development and platform evolution.

As a Data Engineer, you will build and maintain data pipelines, support AI capabilities, and establish best practices for data engineering. You'll work on data ingestion, management, and automation for a scalable data platform.

The Principal Data Modeler will design and manage data models for the Marketing Data Warehouse to support data-driven marketing decisions and optimize data architecture.

As a Senior Data Engineer, you will design and develop data pipelines, ensure data quality, and collaborate on advanced analytics projects within the Applied Research team at Cox Automotive.

Lead the design and migration of a data platform architecture. Manage data pipelines, mentor teams, and ensure platform reliability.

The Senior Data Engineer processes structured and unstructured data, validates quality, develops data products, and provides guidance. Responsibilities include data processing, quality assurance, Agile planning, product development, and supporting deployed applications while monitoring emerging technologies.

As a Data Engineer I, you will build and operationalize complex data solutions, analyze data sources, and support data governance and quality initiatives.

As a Data Engineer, you will analyze and collect data, develop data integration and automation solutions using Power BI and Azure Databricks, and collaborate with stakeholders to provide data-driven insights.

The Senior Data Engineer designs and builds data pipelines and analytical models to enable reporting and analytics, collaborating with stakeholders and ensuring data quality and security.

As a Lead Data Engineer, you'll architect data pipelines for IoT telemetry, develop AI solutions, enforce data governance, and mentor team members.

As a Senior Data Engineer, you will design AI-optimized data platforms, build data pipelines, and collaborate on analytics projects, while advising clients on data architecture.

As the Director, Lead Data & Analytics Engineer, you will oversee data flow processes, enhance analytics with AI technologies, and manage product lifecycles. This includes client onboarding and utilizing various tools for data analysis and reporting. You will also drive complex technology decisions and collaborate with cross-functional teams.

Design, implement, and maintain data pipelines on cloud platforms, provide technical leadership, and ensure solutions align with customer needs.

Design and implement advanced data systems and pipelines using cloud technologies. Provide technical leadership and collaborate with clients to meet their data engineering needs.

The Director, Lead Data & Analytics Engineer will architect and develop scalable systems, assess new projects, handle coding and reviews, and contribute to software life cycle phases.

This role involves designing and implementing data quality monitoring and governance for cyber datasets, collaborating with various stakeholders, and ensuring trusted data through frameworks and automated controls.

Responsible for leading data engineering efforts, optimizing ETL processes, and ensuring data quality while collaborating with cross-functional teams to support business intelligence and analytics.

The Lead Data Engineer will oversee scalable data engineering projects, drive data quality, and support analytics across teams, ensuring actionable insights for business growth.

The Sr. Data Engineer will develop and maintain data pipelines, optimize performance in Azure, and implement data governance while mentoring junior resources.

The Senior Data Engineer will build data pipelines, mentor team members, design complex data solutions, and support AI and business intelligence initiatives.

The Senior Data Engineer designs and optimizes modern data platforms, leads client engagement, develops data pipelines, and contributes to project planning.